Research on Tool Wear and Optimization of Tunneling Parameters based on PSO Algorithm

Haoqiang Zhang; Liying Deng; Xuying Chai

doi:10.6919/ICJE.202504_11(4).0019

Authors

Haoqiang Zhang
Liying Deng
Xuying Chai

DOI:

https://doi.org/10.6919/ICJE.202504_11(4).0019

Keywords:

Tool Wear; Tunneling Parameters; Regression Analysis; Parameter Optimization; Particle Swarm Algorithm.

Abstract

The shield construction process usually faces the problem of tool wear. Frequent opening and changing of tools not only has a great impact on the construction efficiency, but also easily causes engineering accidents. Aiming at the problems such as frequent opening and changing of tools and the decrease of construction efficiency caused by tool wear in the shield construction process, etc. Based on a certain section of Fuzhou Metro Binhai Express Line, the average wear amount of each ring of edge hob was calculated according to the excavation parameters and opening records of actual construction, combined with the empirical formula, the multivariate nonlinear regression model of tool wear amount and excavation parameters was established, and the coefficient of the regression model was calculated. The particle swarm optimization algorithm was written in matlab software to optimize the model and obtain the optimal value of tool wear. The research shows that suitable driving parameters can reduce the amount of tool wear, reduce the frequency of opening and changing the tool, and greatly improve the construction efficiency.

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